Current life involves physical enjoyment, social activities and content, profile and cyber resources. Now it is easy to merge computing, networking and society with physical systems to create new revolutionary science, technical capabilities and better quality of life. That all possible through Cyber Physical Social Content and Profile Based System (CPSCPs).In this propose system, a group-centric intelligent recommender system named as GroRec, which integrates social, mobile and big data technologies to provide effective, objective and accurate recommendation services. This provides group recommendation in CPSCPs domain. In which activity oriented cluster discovery, the revision of rating information for improved accuracy and cluster preferences modelling that supports descent context mining from multiple sources. Group recommendation is based on profile and content based approach. Our main goal is make several interactions with group members by using specific technique and methods. The recommender system is economical, objective and correct.
Big data, Data mining, Big data analysis, Recommended services, CPSCPs
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